2024 ACC/AHA/AACVPR/APMA/ABC/SCAI/SVM/SVN/SVS/SIR/VESS Guideline for the Management of Lower Extremity Peripheral Artery Disease: A Report of the American College of Cardiology/American Heart Association Joint Committee on Clinical Practice Guidelines

AIM

The "2024 ACC/AHA/AACVPR/APMA/ABC/SCAI/SVM/SVN/SVS/SIR/VESS Guideline for the Management of Lower Extremity Peripheral Artery Disease" provides recommendations to guide clinicians in the treatment of patients with lower extremity peripheral artery disease across its multiple clinical presentation subsets (ie, asymptomatic, chronic symptomatic, chronic limb-threatening ischemia, and acute limb ischemia).

METHODS

A comprehensive literature search was conducted from October 2020 to June 2022, encompassing studies, reviews, and other evidence conducted on human subjects that was published in English from PubMed, EMBASE, the Cochrane Library, CINHL Complete, and other selected databases relevant to this guideline. Additional relevant studies, published through May 2023 during the peer review process, were also considered by the writing committee and added to the evidence tables where appropriate.

STRUCTURE

Recommendations from the "2016 AHA/ACC Guideline on the Management of Patients With Lower Extremity Peripheral Artery Disease" have been updated with new evidence to guide clinicians. In addition, new recommendations addressing comprehensive care for patients with peripheral artery disease have been developed.

Enhancing complex bioprocess learning through simulation technology and hybrid teaching: A case study in university education

The utilization of computer simulators in university education is progressively being embraced to offer students a practical exposure to industrial bioprocesses. Bioreactor computer simulators hold various advantages over conventional laboratory experiments, such as cost-effectiveness and enhanced safety. The research objective is to assess the effectiveness of integrating bioreactor computer simulators into hybrid teaching to promote active and collaborative learning experiences and evaluate their impact on student participation and understanding. A hybrid strategy combining synchronous, face-to-face, and online teaching has been implemented to enhance the teaching-learning processes in the Industrial Bioprocesses course for Biochemistry students. The simulation software BIOSTAT®T Yeast was used. This software models the production of ethanol with Saccharomyces cerevisiae through batch cultivation and the determination of the kLa value of a bioreactor. In the first simulation activity, students analyzed the software response based on parameter values input by the instructor, while in the second simulation activity, students autonomously used the computer simulator under the primary oversight of the instructor. The survey results indicate that the pedagogical innovation was positively received and significantly motivating for the students. Comparing student satisfaction surveys between the two simulation activities suggests that fostering student autonomy and engagement through simulation technology can improve satisfaction and learning outcomes in bioprocess education.

Old tech but not low tech: telephone-based treatment provision for substance use

The future of telemedicine for substance use treatment hangs by a thread, as the United States awaits approval of proposed regulations and laws to increase care access in light of the 2022 Centers for Medicare and Medicaid Services revisions allowing for audio-only care. Telemedicine improves patient care access and outcomes. Audio-only telemedicine can be an effective and viable modality for individuals without technology resources (devices, internet services, and literacy), those with reduced telehealth service utilization (Black individuals or those with unstable housing, who are older, with low income, or with low education), and those living in rural locations. Studies suggest that telephone visits for buprenorphine treatment are well-accepted by patients and providers, making telephone visits essential in care access to reduce disparities. Telephone counseling for patients in substance use treatment is convenient, flexible, and empowering and can augment therapeutic alliances and treatment goals. Both providers and patients advocate for patient-centered hybrid care to include telephone-only treatment, which enhances service productivity and care access; reduces no-show rates, costs, and stigma; and is sustainable. Numerous solutions can expand technology access, proficiency, assimilation, and trust. Despite being "old" technology, the telephone remains an essential resource for substance use treatment.

Autonomous Parameter Balance in Population-Based Approaches: A Self-Adaptive Learning-Based Strategy

Population-based metaheuristics can be seen as a set of agents that smartly explore the space of solutions of a given optimization problem. These agents are commonly governed by movement operators that decide how the exploration is driven. Although metaheuristics have successfully been used for more than 20 years, performing rapid and high-quality parameter control is still a main concern. For instance, deciding the proper population size yielding a good balance between quality of results and computing time is constantly a hard task, even more so in the presence of an unexplored optimization problem. In this paper, we propose a self-adaptive strategy based on the on-line population balance, which aims for improvements in the performance and search process on population-based algorithms. The design behind the proposed approach relies on three different components. Firstly, an optimization-based component which defines all metaheuristic tasks related to carry out the resolution of the optimization problems. Secondly, a learning-based component focused on transforming dynamic data into knowledge in order to influence the search in the solution space. Thirdly, a probabilistic-based selector component is designed to dynamically adjust the population. We illustrate an extensive experimental process on large instance sets from three well-known discrete optimization problems: Manufacturing Cell Design Problem, Set covering Problem, and Multidimensional Knapsack Problem. The proposed approach is able to compete against classic, autonomous, as well as IRace-tuned metaheuristics, yielding interesting results and potential future work regarding dynamically adjusting the number of solutions interacting on different times within the search process.

Model for Doctor of Nursing Practice Projects Based on Cross-Fertilization Between Improvement and Implementation Sciences: Protocol for Quality Improvement and Program Evaluation Studies

BACKGROUND

Hundreds of nursing professionals graduate each year from Doctor of Nursing Practice (DNP) programs, entrusted with roles as practice scholars and leaders. Graduates are tasked to lead multidisciplinary knowledge implementation projects to improve safety, quality, and key performance metrics. Nevertheless, there is a continued lack of agreement and faculty dissatisfaction with the format, focus, and results of the DNP graduation projects. The use of a wide range of models and methodologies from different sciences for knowledge implementation introduces challenges to DNP students; affects the scientific rigor of the projects; and results in the overuse, superficial use, or misuse of the models. Quality improvement (QI) and program evaluation studies are substantial investments that may lead to waste and even harm if not well conducted. Traditional QI methodologies, commonly used in DNP projects, were found to be uncertain in improving health care outcomes. The complexity of health care systems calls for cross-fertilization between improvement and implementation sciences to improve health care outcomes.

OBJECTIVE

This study describes the development, implementation, and evaluation of a hybrid model for QI and program evaluation studies to guide scholarship in the DNP program.

METHODS

The hybrid model was based on cross-fertilization between improvement and implementation sciences. The model adapted the Getting to Outcome (GTO) and Knowledge to Action (KTA) models as the overarching process models for knowledge implementation. Within each phase of the GTO and KTA models, expected barriers and facilitators for the implementation and adoption of innovation were identified based on the CFIR (Consolidated Framework for Implementation Research). Accordingly, strategies to facilitate the implementation and adoption of innovations were identified based on a refined list of implementation strategies and QI tools. The choice of these models was based on the top 5 criteria for selecting implementation science theories and frameworks. Seven DNP students used the hybrid model to conduct QI projects. Students evaluated their experiences by responding to a Qualtrics survey.

RESULTS

The hybrid model encouraged a comprehensive systematic way of thinking, provided tools essential to implementation success, emphasized the need for adaptability in implementation, maintained rigor in QI, and guided the sustainability of change initiatives. Some of the challenges faced by students included finding reliable and valid measures, attaining and maintaining staff buy-in, and competing organizational priorities.

CONCLUSIONS

Cross-fertilization between improvement and implementation sciences provided a roadmap and systematic thinking for successful QI projects in the DNP program. The integration of the CFIR with the GTO or KTA process models, enforced by the use of evidence-based implementation strategies and QI tools, reflected the complexity of health care systems and emphasized the need for adaptability in implementation.

INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID)

RR1-10.2196/54213.

A hybrid approach for fatigue life prediction of in-service asphalt pavement

Fatigue cracking is one of the main pavement failures, which makes accurate fatigue life prediction for the design and maintenance of asphalt pavements crucial. The majority of traditional prediction methods are based entirely on the laboratory fatigue test, without considering the field condition and maintenance data. This paper aims to propose a hybrid approach to fill this gap. The key idea is that the damage condition is back-calculated by an artificial intelligence-based finite-element (FE) model updating using field-monitoring information (data-driven component), which is used to update the parameters in the mechanistic composition-specific fatigue life prediction equation (model-driven component). The laboratory test of field cores gives the material non-destructive properties. The simulated pavement response subjected to truck loading shows good agreement with measured values, which indicates that the verified constitutive relationship could be used in the data-driven component. Furthermore, in view that the fatigue test is time- and money-consuming, this paper proposes a non-test estimation of the fatigue characteristic curve based on FE simulation of a repeated direct tension test. Three test pavement sections were employed as case studies. Results showed that the predicted fatigue life changes with the service time. At the early age, semi-rigid pavement has a larger fatigue life than flexible and inverted pavements. This article is part of the theme issue 'Artificial intelligence in failure analysis of transportation infrastructure and materials'.

Brain Tumor Segmentation from MRI Images Using Handcrafted Convolutional Neural Network

Brain tumor segmentation from magnetic resonance imaging (MRI) scans is critical for the diagnosis, treatment planning, and monitoring of therapeutic outcomes. Thus, this research introduces a novel hybrid approach that combines handcrafted features with convolutional neural networks (CNNs) to enhance the performance of brain tumor segmentation. In this study, handcrafted features were extracted from MRI scans that included intensity-based, texture-based, and shape-based features. In parallel, a unique CNN architecture was developed and trained to detect the features from the data automatically. The proposed hybrid method was combined with the handcrafted features and the features identified by CNN in different pathways to a new CNN. In this study, the Brain Tumor Segmentation (BraTS) challenge dataset was used to measure the performance using a variety of assessment measures, for instance, segmentation accuracy, dice score, sensitivity, and specificity. The achieved results showed that our proposed approach outperformed the traditional handcrafted feature-based and individual CNN-based methods used for brain tumor segmentation. In addition, the incorporation of handcrafted features enhanced the performance of CNN, yielding a more robust and generalizable solution. This research has significant potential for real-world clinical applications where precise and efficient brain tumor segmentation is essential. Future research directions include investigating alternative feature fusion techniques and incorporating additional imaging modalities to further improve the proposed method's performance.

Successful Hybrid Approach Treatment of a Large Persistent Sciatic Artery Aneurysm-A Case Report

Background and Objectives: Persistent sciatic artery (PSA) is a rare congenital vascular anomaly that is often asymptomatic, but can be associated with aneurysm formation and potential complications, such as thromboembolism or aneurysm rupture in some cases. We present a case of a 75-year-old woman with a symptomatic thrombus-containing aneurysm of the left PSA. Materials and Methods: The treatment of the PSA aneurysm involved a successful hybrid approach, which included open surgical bypass and endovascular embolization. The open surgical bypass was performed from the left common femoral artery to the left above-the-knee popliteal artery using a synthetic graft, while the aneurysm exclusion was achieved through endovascular plug embolization. Results: Control angiography revealed complete exclusion of the PSA aneurysm. At the 1-month follow-up, there were no palpable pulsatile masses in the left gluteal region, and the patient reported no symptoms. Conclusions: Given the high incidence of limb- and life-threatening complications associated with a PSA aneurysm, accurate diagnosis and appropriate treatment are crucial. In this case, a combination of open surgical and endovascular techniques resulted in a favorable outcome for the patient, highlighting the effectiveness of the hybrid approach in managing PSA aneurysms. Further studies are warranted to explore and refine treatment strategies for these complex vascular anomalies.

Combination of personalized computational modeling and machine learning for optimization of left ventricular pacing site in cardiac resynchronization therapy

Introduction: The 30-50% non-response rate to cardiac resynchronization therapy (CRT) calls for improved patient selection and optimized pacing lead placement. The study aimed to develop a novel technique using patient-specific cardiac models and machine learning (ML) to predict an optimal left ventricular (LV) pacing site (ML-PS) that maximizes the likelihood of LV ejection fraction (LVEF) improvement in a given CRT candidate. To validate the approach, we evaluated whether the distance D_PS between the clinical LV pacing site (ref-PS) and ML-PS is associated with improved response rate and magnitude. Materials and methods: We reviewed retrospective data for 57 CRT recipients. A positive response was defined as a more than 10% LVEF improvement. Personalized models of ventricular activation and ECG were created from MRI and CT images. The characteristics of ventricular activation during intrinsic rhythm and biventricular (BiV) pacing with ref-PS were derived from the models and used in combination with clinical data to train supervised ML classifiers. The best logistic regression model classified CRT responders with a high accuracy of 0.77 (ROC AUC = 0.84). The LR classifier, model simulations and Bayesian optimization with Gaussian process regression were combined to identify an optimal ML-PS that maximizes the ML-score of CRT response over the LV surface in each patient. Results: The optimal ML-PS improved the ML-score by 17 ± 14% over the ref-PS. Twenty percent of the non-responders were reclassified as positive at ML-PS. Selection of positive patients with a max ML-score >0.5 demonstrated an improved clinical response rate. The distance D_PS was shorter in the responders. The max ML-score and D_PS were found to be strong predictors of CRT response (ROC AUC = 0.85). In the group with max ML-score > 0.5 and D_PS< 30 mm, the response rate was 83% compared to 14% in the rest of the cohort. LVEF improvement in this group was higher than in the other patients (16 ± 8% vs. 7 ± 8%). Conclusion: A new technique combining clinical data, personalized heart modelling and supervised ML demonstrates the potential for use in clinical practice to assist in optimizing patient selection and predicting optimal LV pacing lead position in HF candidates for CRT.

Robot-Assisted Radical Cystectomy with Modified Vesica Ileale Padovana (VIP) Neobladder Configuration Using a Hybrid Approach: Initial Experience

PURPOSE

We developed a new technique to fold a neobladder (NB) simply by using a modified Vesica Ileale Padovana (VIP) with a hybrid approach. We provide a step-by-step description of our technique as it was used in this initial experience.

METHODS

A total of 10 male patients with a median age of 66 years underwent robot-assisted radical cystectomy (RARC) with an orthotopic NB via a hybrid approach from March 2022 to February 2023. After the isolation of the bladder and bilateral pelvic lymphadenectomy, Wallace plate creation was performed, and the robot was undocked. We extracorporeally performed the removal of the specimen and a side-to-side ileoileal anastomosis, and then the VIP NB posterior plate was rotated 90 degrees counterclockwise using a 45 cm detubularized ileum. The robot was redocked; then, circumferential urethra-ileal anastomosis, side-to-middle anterior wall closure, and ureteric afferent limb anastomosis were performed.

RESULTS

The median estimated blood loss was 524 mL, and the mean operative time was 496 min. Patients had a high continence rate, and no high-grade complications were observed.

CONCLUSION

The NB configuration using the modified VIP method for a hybrid approach is a feasible surgical technique to minimize the movement of robotic forceps. In particular, it may be more useful in Asian individuals with narrow pelvises.

Complete genome sequence and antimicrobial resistance analysis of ESBL-producing Shigella sonnei carrying small cryptic plasmids isolated in Northern Italy

OBJECTIVES

Herein, we sequenced and assembled the genome of an S. sonnei isolate carrying several small plasmids using a hybrid approach combining Oxford Nanopore technologies (ONT) and Illumina platforms.

METHODS

Whole genome sequencing was conducted using the Illumina iSeq 100 and the Oxford Nanopore MinION systems, and the resulting reads were used for hybrid genome assembly with Unicycler. Coding sequences were annotated with RASTtk, while genes involved in antimicrobial resistance and virulence were identified with AMRFinderPlus. Plasmid nucleotide sequences were aligned to the NCBI nr database using BLAST, and replicons were identified using PlasmidFinder.

RESULTS

The genome consisted of a chromosome of 4.801.657 base pairs, three major plasmids (212.849 bp, 86.884 bp and 83.425 bp) and 12 small cryptic plasmids (ranging from 8.390 bp to 1.822 bp). BLAST analysis revealed that all plasmids were highly similar to previously deposited sequences. Genome annotation predicted 5.522 coding regions, including 19 antimicrobial resistance genes, four of which located in small plasmids, and 17 virulence genes, with four of these located in a large virulence plasmid.

CONCLUSION

The presence of antimicrobial resistance genes on small cryptic plasmids may represent an overlooked mechanism for the propagation of these genes among bacterial populations. Our work provides new data on these elements which may inform the development of new strategies to control the spread of ESBL-producing bacterial strains.

Video-assisted transcervical-transtracheal repair of posterior wall laceration of thoracic trachea: A new approach. Case Report

Iatrogenic tracheal lacerations are a rare but potentially fatal event. In selected acute cases, surgery plays a key role. Treatment can be conservative, for lacerations of less than 3 cm; surgical or endoscopic, depending on the size and location of the lesion and fan efficiency. There is no clear indication of the use of any of these approaches and the decision is therefore linked to local expertise. We present an emblematic clinical case of a 79 years old female patient undergoing polytrauma as a result of a road accident, without neurological damage, which required intubation and subsequent tracheotomy due to a significant limitation to ventilation. Imaging has shown the tracheal laceration involving the anterior wall and the pars membranacea up to the origin of the right main bronchus.A percutaneous tracheotomy was permormed without any improvement of the respiratory dynamic. Therefore, the patient underwent a surgical repair of the tracheal laceration with a hybrid mini-cervicotomic/endoscopic approach. This less invasive approach successfully repaired the extensive loss of substance.

Advantages of long- and short-reads sequencing for the hybrid investigation of the Mycobacterium tuberculosis genome

Introduction

In the fight to limit the global spread of antibiotic resistance, computational challenges associated with sequencing technology can impact the accuracy of downstream analysis, including drug resistance identification, transmission, and genome resolution. About 10% of Mycobacterium tuberculosis (MTB) genome is constituted by the PE/PPE family, a GC-rich repetitive genome region. Although sequencing using short read technology is widely used, it is well recognized its limit in the PE/PPE regions due to the unambiguously mapping process onto the reference genome. The aim of this study was to compare the performances of short-reads (SRS), long-reads (LRS) and hybrid-reads (HYBR) based analysis over different common investigative tasks: genome coverage estimation, variant calling and cluster analysis, drug resistance detection and de novo assembly.

Methods

For the study 13 model MTB clinical isolates were sequenced with both SRS and LRS. HYBR were produced correcting the long reads with the short reads. The fastq from the three approaches were then processed using a customized version of MTBseq for genome coverage estimation and variant calling and using two different assemblers for de novo assembly evaluation.

Results

Estimation of genome coverage performances showed lower 8X breadth coverage for SRS respect to LRS and HYBR: considering the PE/PPE genes, SRS showed low results for the PE_PGRS family, while obtained acceptable coverage in PE and PPE genes; LRS and HYBR reached optimal coverages in PE/PPE genes. For variant calling HYBR showed the highest resolution, detecting the highest percentage of uniquely identified mutations compared to LRS and SRS. All three approaches agreed on the identification of two major clusters, with HYBR identifying an higher number of SNPs between the two clusters. Comparing the quality of the assemblies, HYBR and LRS obtained better results than SRS.

Discussion

In conclusion, depending on the aim of the investigation, both SRS and LRS present complementary advantages and limitations implying that for a full resolution of MTB genomes, where all the mentioned analyses and both technologies are needed, the use of the HYBR approach represents a valid option and a well-rounded strategy.

Aortic arch surgery for type B aortic dissection: How far should we go? The value of a hybrid approach

Traditionally, the management of type B aortic dissection has been the domain of the vascular surgeons. Timing and type of intervention still generate debate. We sought to review our early experience with the treatment of this condition based on a hybrid approach following an aortic multi-disciplinary team meeting involving close cooperation between cardiac surgeons, vascular surgeons, interventional radiologists, vascular anesthetists, and cardiac anesthetists. Four patients (age 41-56 years; 3 males; 1 female) with type B aortic dissection underwent aortic arch surgery through a hybrid approach: one elective procedure consisting of ascending aorta and hemi-arch replacement with debranching followed by thoracic endovascular aortic repair (TEVAR); one redo procedure requiring aortic arch replacement with hybrid frozen elephant trunk; two acute presentations (aortic arch replacement and debranching followed by TEVAR; AVR with ascending aorta, arch, and proximal descending thoracic aorta replacement with conventional elephant trunk and debranching). Deep hypothermic circulatory arrest was required in three patients. Despite respiratory complications and slightly prolonged postoperative course, all patients survived without onset of stroke, paraplegia, malperfusion, endoleak, or need for re-exploration. Follow-up remains satisfactory. Different factors may affect outcome following complex aortic procedures. Nevertheless, close cooperation between cardiac surgeons, vascular surgeons, and interventional radiologists may reduce potential for complications and address aspects that may not be completely within the domain of individual specialists.

Case report: A hybrid open and endovascular approach for repairing a life-threatening innominate artery dissection using the simultaneous kissing stent technique

Managing acute innominate artery (IA) dissection associated with severe stenosis is challenging due to its rarity, possible complex dissection patterns, and compromised blood flow to the brain and upper extremities. This report describes our treatment strategy for this challenging disease using the kissing stent technique. A 61-year-old man had worsening of an acute IA dissection secondary to an extension of a treated aortic dissection. Four possible treatment strategies for kissing stent placement were proposed based on different approaches (open surgical or endovascular) and accesses (trans-femoral, trans-brachial, or trans-carotid access). We chose to place two stents simultaneously via a percutaneous retrograde endovascular approach through the right brachial artery and a combined open surgical distal clamping of the common carotid artery with a retrograde endovascular approach through the carotid artery. This hybrid approach strategy highlights the three key points for maintaining safety and efficacy: (1) good guiding catheter support is obtainable through retrograde, rather than antegrade, access to the lesion, (2) concomitant cerebral and upper extremity reperfusion is guaranteed by placing kissing stents into the IA, and (3) peri-procedural cerebral emboli are prevented by surgical exposure of the common carotid artery with distal clamping.

Hypoplastic Left Ventricle: Left Ventricular Recruitment With Hybrid Approach

Decision-making for biventricular repair (BVR) or univentricular palliation is challenging in neonates with hypoplastic left heart complex (HLHC). Hybrid strategy can be used successfully to achieve BVR in some of these patients. Between June 1998 and January 2022, 342 patients with a diagnosis of HLHS/variants, ductal-dependent lower body circulation with two ventricles, or HLHC with borderline left ventricle (LV) underwent initial bilateral pulmonary artery banding and ductal stenting in our institution. Among these 342 patients, 224 patients were defined as HLHS/variants and underwent univentricular palliation. 118 patients were determined to have borderline LV and hypoplastic left ventricular structures (HLHC, n = 48) or ductal-dependent lower body circulation with two ventricles (n = 70) considered suitable for BVR. 48 patients had multilevel obstructions including both aortic and mitral valve hypoplasia, aortic arch hypoplasia, and borderline LV. These were considered to have HLHC. These 48 HLHC patients are the subject of this report. Neonatal hybrid palliation at a median age of seven days was performed in 48 patients and 46 patients underwent BVR at a median age of 156 days. In 46 patients who underwent BVR, hospital mortality was not observed. The median follow-up was 66 months, with no late mortality. Heart transplant-free survival at 5, 10, and 15 years was 95.7%. 12 patients (26%) required reoperation and 9 (19.5%) required catheter reinterventions. Hybrid palliation may increase the chances for biventricular circulation in patients with borderline LV and small left-sided structures. Giessen hybrid approach as a left ventricular recruitment strategy achieves excellent early and long-term results.

Dualized Labor Market and Polarized Health: A Longitudinal Perspective on the Association between Precarious Employment and Mental and Physical Health in Germany

This study analyzes the longitudinal association between precarious employment and physical and mental health in a dualized labor market by disaggregating between-employee and within-employee effects and considering mobility in precariousness of employment. Analyses were based on the German Socio-Economic Panel from 2002 to 2018 considering all employees ages 18 to 67 years (n = 38,551). Precariousness of employment was measured as an additive index considering working poverty, nonstandard working time arrangements, perceived job insecurity, and low social rights. Health outcomes were mental and physical health. Random effects models were used and controlled for sociodemographic and socioeconomic variables. Results indicated that the association between precariousness of employment and mental and physical health is mainly based on between-employee differences and that prolonged precariousness of employment or upward or downward mobility are associated with poor health. We found evidence of polarization in health by precariousness of employment within a dualized labor market.

Hypoplastic Left Heart Syndrome Palliation: Technical Aspects and Common Pitfalls of the Hybrid Approach

The Giessen hybrid strategy is used for initial palliation of HLHS and variants when the intent is to pursue further staged palliative reconstruction toward Fontan circulation. It is also used for initial palliation of HLHC and other anomalies with potential for eventual biventricular repair. From June 1998 - October 2021, 197 patients with HLHS and related variants underwent hybrid stage 1. Follow-up is complete (median 8.3 [range 0-23.3] years). Operative mortality for hybrid stage I was 3.6% (7/197); reduced to 2.8% since 2010 (4/141). Interstage mortality was 4.1% (8/197). Operative mortality for comprehensive stage II was 5.8% (10/172), and since 2010 was 1.8% (2/113 patients). Fontan completion has been accomplished in 117 patients, and 33 are still awaiting stage III. Twelve patients underwent heart transplantation. Over 23 years, overall survival is 77.7% and transplant-free survival is 73.6%.

Machine Learning Methods for Multiscale Physics and Urban Engineering Problems

We present an overview of four challenging research areas in multiscale physics and engineering as well as four data science topics that may be developed for addressing these challenges. We focus on multiscale spatiotemporal problems in light of the importance of understanding the accompanying scientific processes and engineering ideas, where "multiscale" refers to concurrent, non-trivial and coupled models over scales separated by orders of magnitude in either space, time, energy, momenta, or any other relevant parameter. Specifically, we consider problems where the data may be obtained at various resolutions; analyzing such data and constructing coupled models led to open research questions in various applications of data science. Numeric studies are reported for one of the data science techniques discussed here for illustration, namely, on approximate Bayesian computations.

BepFAMN: A Method for Linear B-Cell Epitope Predictions Based on Fuzzy-ARTMAP Artificial Neural Network

The public health system is extremely dependent on the use of vaccines to immunize the population from a series of infectious and dangerous diseases, preventing the system from collapsing and millions of people dying every year. However, to develop these vaccines and effectively monitor these diseases, it is necessary to use accurate diagnostic methods capable of identifying highly immunogenic regions within a given pathogenic protein. Existing experimental methods are expensive, time-consuming, and require arduous laboratory work, as they require the screening of a large number of potential candidate epitopes, making the methods extremely laborious, especially for application to larger microorganisms. In the last decades, researchers have developed in silico prediction methods, based on machine learning, to identify these markers, to drastically reduce the list of potential candidate epitopes for experimental tests, and, consequently, to reduce the laborious task associated with their mapping. Despite these efforts, the tools and methods still have low accuracy, slow diagnosis, and offline training. Thus, we develop a method to predict B-cell linear epitopes which are based on a Fuzzy-ARTMAP neural network architecture, called BepFAMN (B Epitope Prediction Fuzzy ARTMAP Artificial Neural Network). This was trained using a linear averaging scheme on 15 properties that include an amino acid ratio scale and a set of 14 physicochemical scales. The database used was obtained from the IEDB website, from which the amino acid sequences with the annotations of their positive and negative epitopes were taken. To train and validate the knowledge models, five-fold cross-validation and competition techniques were used. The BepiPred-2.0 database, an independent database, was used for the tests. In our experiment, the validation dataset reached sensitivity = 91.50%, specificity = 91.49%, accuracy = 91.49%, MCC = 0.83, and an area under the curve (AUC) ROC of approximately 0.9289. The result in the testing dataset achieves a significant improvement, with sensitivity = 81.87%, specificity = 74.75%, accuracy = 78.27%, MCC = 0.56, and AOC = 0.7831. These achieved values demonstrate that BepFAMN outperforms all other linear B-cell epitope prediction tools currently used. In addition, the architecture provides mechanisms for online training, which allow the user to find a new B-cell linear epitope, and to improve the model without need to re-train itself with the whole dataset. This fact contributes to a considerable reduction in the number of potential linear epitopes to be experimentally validated, reducing laboratory time and accelerating the development of diagnostic tests, vaccines, and immunotherapeutic approaches.

CT-Angiography Fusion During Coronary Chronic Total Occlusion PCI

A 56-year-old male presented with angina pectoris despite optimal medical treatment. A coronary computed tomography angiography revealed a chronic total occlusion of the proximal right coronary artery with a moderately calcified long path, and a chronic total occlusion of the distal circumflex. In selected cases with long occlusions and the need for a hybrid approach, the use of computed tomography angiography fusion could help to identify the right wire position, prevent perforations, reduce the use of contrast and fluoroscopy time, improve patient safety, and increase success rate.

Hybrid motion artifact detection and correction approach for functional near-infrared spectroscopy measurements

SIGNIFICANCE

Functional near-infrared spectroscopy (fNIRS) is a promising optical neuroimaging technique, measuring the hemodynamic signals from the cortex. However, improving signal quality and reducing artifacts arising from oscillation and baseline shift (BS) are still challenging up to now for fNIRS applications.

AIM

Considering the advantages and weaknesses of the different algorithms to reduce the artifact effect in fNIRS signals, we propose a hybrid artifact detection and correction approach.

APPROACH

First, distinct artifact detection was realized through an fNIRS detection strategy. Then the artifacts were divided into three categories: BS, slight oscillation, and severe oscillation. A comprehensive correction was applied through three main steps: severe artifact correction by cubic spline interpolation, BS removal by spline interpolation, and slight oscillation reduction by dual-threshold wavelet-based method.

RESULTS

Using fNIRS data acquired during whole night sleep monitoring, we compared the performance of our approach with existing algorithms in signal-to-noise ratio (SNR) and Pearson's correlation coefficient (R). We found that the proposed method showed improvements in performance in SNR and R with strong stability.

CONCLUSIONS

These results suggest that the new hybrid artifact detection and correction method enhances the viability of fNIRS as a functional neuroimaging modality.

A Soft Computing-Based Analysis of Cutting Rate and Recast Layer Thickness for AZ31 Alloy on WEDM Using RSM-MOPSO

In the present research, the AZ31 alloy is machined by wire-cut electric discharge machining (WEDM). The experiments were designed according to the Box-Behnken design (BBD) of response surface methodology (RSM). The input process variables, namely servo feed (SF), pulse on-time (Ton), servo voltage (SV), and pulse off-time (Toff), were planned by BBD, and experiments were performed to investigate the cutting rate (CR) and recast layer thickness (RCL). The analysis of variance (ANOVA) was performed to determine the influence of machining variables on response characteristics. The empirical models developed for CR and RCL were solved using Multi-Objective Particle Swarm Optimization (MOPSO). Pareto optimal front is used for the collective optimization of CR and RCL. The optimal solution suggested by the hybrid approach of RSM-MOPSO is further verified using a confirmation test on the random setting indicated by the hybrid algorithm. It is found that the minimum RCL (6.34 µm) is obtained at SF: 1700; SV: 51 V; Toff: 10.5 µs; and Ton: 0.5 µs. However, maximum CR (3.18 m/min) is predicted at SF: 1900; SV: 40 V; Toff: 7 µs; and Ton: 0.9 µs. The error percentage of ±5.3% between the experimental results and predicted solutions confirms the suitability of the proposed hybrid approach for WEDM of AZ31.

Machine Learning Prediction of Cardiac Resynchronisation Therapy Response From Combination of Clinical and Model-Driven Data

Background: Up to 30–50% of chronic heart failure patients who underwent cardiac resynchronization therapy (CRT) do not respond to the treatment. Therefore, patient stratification for CRT and optimization of CRT device settings remain a challenge.

Objective: The main goal of our study is to develop a predictive model of CRT outcome using a combination of clinical data recorded in patients before CRT and simulations of the response to biventricular (BiV) pacing in personalized computational models of the cardiac electrophysiology.

Materials and Methods: Retrospective data from 57 patients who underwent CRT device implantation was utilized. Positive response to CRT was defined by a 10% increase in the left ventricular ejection fraction in a year after implantation. For each patient, an anatomical model of the heart and torso was reconstructed from MRI and CT images and tailored to ECG recorded in the participant. The models were used to compute ventricular activation time, ECG duration and electrical dyssynchrony indices during intrinsic rhythm and BiV pacing from the sites of implanted leads. For building a predictive model of CRT response, we used clinical data recorded before CRT device implantation together with model-derived biomarkers of ventricular excitation in the left bundle branch block mode of activation and under BiV stimulation. Several Machine Learning (ML) classifiers and feature selection algorithms were tested on the hybrid dataset, and the quality of predictors was assessed using the area under receiver operating curve (ROC AUC). The classifiers on the hybrid data were compared with ML models built on clinical data only.

Results: The best ML classifier utilizing a hybrid set of clinical and model-driven data demonstrated ROC AUC of 0.82, an accuracy of 0.82, sensitivity of 0.85, and specificity of 0.78, improving quality over that of ML predictors built on clinical data from much larger datasets by more than 0.1. Distance from the LV pacing site to the post-infarction zone and ventricular activation characteristics under BiV pacing were shown as the most relevant model-driven features for CRT response classification.

Conclusion: Our results suggest that combination of clinical and model-driven data increases the accuracy of classification models for CRT outcomes.

Insights from advancements and pathbreaking research on the minimally invasive treatment of atrial fibrillation

Atrial fibrillation (AF) remains the most common cardiac arrhythmia with increasing prevalence in developed and aging countries. Pharmacological antiarrhythmic therapy has low effectiveness and is limited by its toxicity. Developed in 1987 by James Cox surgical ablation of AF called MAZE procedure was very effective, but due to its invasiveness and complexity was not widely adopted. Landmark research done by Haissaguerre in 1998 initiated a new approach for treatment namely percutaneous catheter ablation, which remains a class I/A indication in symptomatic paroxysmal AF refractory to optimal medical therapy. However, its efficacy in patients with persistent atrial fibrillation (PSAF) is far from satisfactory. Recent advancements in devices and techniques of minimally invasive surgical ablation show very good results in the treatment of PSAF. Current guidelines equate surgical with catheter ablation within the scope of efficacy indicating that both may be considered as an effective and safe treatment option for patients with persistent forms of arrhythmia. The higher efficacy of surgical ablation was confirmed at a 7-year follow-up of FAST trial with recurrence rate as high as 87% in catheter arm compared with 56% in thoracoscopic ablation arm. A new concept of the invasive treatment of AF consisting of combined surgical (epicardial) and electrophysiological (endocardial) was introduced in 2009. Recently experts' opinions and published data suggest that the proper hybrid treatment consisting of a planned combination of surgical and catheter ablation may give even better results. One of the most invaluable benefits of surgical ablations is the possibility of concomitant occlusion of the left atrial appendage. Recently good results have been reported for the novel epicardial clip for closing the left atrial appendage, which is placed in the deployment loop on a disposable holder.

Left ventricular surgical remodeling 2.0

Left ventricular surgical remodeling has been, for a long time, the procedure applied for large dyskinetic, or akinetic, areas as a consequence of a myocardial infarction, mainly located in the left anterior descending area. Many surgical techniques were developed, aimed to a pure reduction of the volume of the left ventricular (LV) cavity or to add to volume reduction a more physiologic conical shape. The expansion of interventional procedures invaded most of the fields before treated only by cardiac surgeons. In this issue, Pillay describes a hybrid technique, involving both interventional cardiologists and cardiac surgeons, aimed to LV volume reduction after an anterior myocardial infarction. A series of internal (right ventricular septum) and external (anterior wall) anchors are implanted to approximate the LV free wall to the anterior septum, consequently excluding the scarred myocardium. Although some limitations of this study, the authors have to be commended for having revitalized a procedure almost eliminated from the surgical scenario.

[Hybrid aortic repair in patients with type III aortic dissection and concomitant proximal aortic lesion]

OBJECTIVE

To report our own experience of hybrid treatment using FET technique in patients with type A aortic dissection and concomitant lesion of aortic arch and ascending aorta.

MATERIAL AND METHODS

There were 90 (28,3%) FET procedures for the period from January 2010 to August 2019. Type B aortic dissection was diagnosed in 19 (45,2%) patients. Type B aortic dissection combined with aortic arch aneurysm occurred in 11 (58%) cases, ascending aorta aneurysm - 15 (79%) cases. Patients underwent total arch and ascending aorta replacement via median sternotomy (upper partial J-shaped sternotomy in 3 cases). Valve-sparing interventions were performed in 58% of cases (aortic root repair - 6 (32%) patients, David procedure - 5 (26%) cases). Intraoperative features, early postoperative morbidity and in-hospital mortality were retrospectively analyzed. In long-term period, distal aortic remodeling, survival rate and incidence of redo interventions were evaluated.

RESULTS

Mean CPB time was 166±27 min, aortic cross-clamping time - 93±23 min, duration of circulatory arrest - 43±11 min. Neurological complications and paraplegia were absent. In-hospital mortality was absent. Reversible acute renal failure without need for hemodialysis developed in 2 cases (11%). Two patients underwent repeated intervention (TEVAR) due to dSINE and negative aortic remodeling. Annual survival rate was 100%. Freedom from redo aortic surgery was 89,5%.

CONCLUSION

FET surgery is an adequate alternative treatment for type B aortic dissection combined with lesion of aortic arch and ascending aorta. This approach ensures a one-stage repair in patients with contraindications to TEVAR. Unlike thoracotomy, FET procedure is valuable for simultaneous correction of cardiac and proximal aortic lesion, stabilizing the distal segments of dissected aorta. This is obvious advantage of this technique.

Hybrid Approach for Embolized Right Ventricular Outflow Tract Stent

Displacement and embolization of the stent is one of the major complications of right ventricular outflow tract (RVOT) stenting. Since embolized stents cannot be retrieved percutaneously as they cannot be crimped into pre-stenting state (unlike duct occluders and septal devices, which can be pulled back into the sheath), surgery remains the gold standard treatment. We describe a hybrid approach for the retrieval of the embolized RVOT stent, which will decrease morbidity when compared to the standard surgical approach that is otherwise required.

Perspectives of parents on the meaning of happiness in children with long-term illness: A hybrid concept analysis

Aim

To define the concept of happiness among children with chronic disease.

Background

Happiness is an old human quest, the existing literature on the definition of happiness among children with chronic diseases is sparse.

Methods

The three-phase hybrid model was used. In the first (theoretical) phase, a literature review was conducted. In the second (fieldwork) phase, the semi-structured interview data were analysed through content analysis. Ten participants were purposively sampled. In the third (final analytic) phase, the practical definition of the concept was identified.

Results

The practical definition of happiness in a Ghanaian chronically ill child is the "subjective and positive lifelong process of adapting to biological, physiological, psychosocial, economic and environmental changes caused by the disease trajectory, which affects the well-being of the child and the family."

Conclusions

This study offers a background for selecting appropriate health indicators and outcome measures in promoting happiness in children with chronic diseases.

The 4 U's Rule of Fibromyalgia: A Proposed Model for Fatigue in a Sample of Women with Fibromyalgia: A Qualitative Study

Although fatigue usually goes unnoticed, it is a symptom that poses great challenges to patients with fibromyalgia and is a strong limitation. The aim of this study is to identify and describe the variables involved in fatigue in nine different situations of the Goal Pursuit Questionnaire (GPQ) that may occur in the daily lives of women with fibromyalgia, according to an ABC (Antecedents–Behaviors–Consequences) model. This study followed a qualitative descriptive research method and a deductive–inductive hybrid approach based on a phenomenological paradigm. Twenty-six women with fibromyalgia participated in focus group discussions between February and March of 2018. Thematic content analysis was carried out from transcribed verbatim interviews. We identified nine major themes that emerged from the participants’ conversations: self-imposed duties, muscle fatigue, overwhelming feeling of tiredness, difficulty thinking, difficulty concentrating, negative emotions, lifestyle changes, affected everyday activities, and lack of motivation for daily activities and social interactions. We conclude that the ABC model allowed certain elements to emerge regarding the fatigue experience, highlighting its importance as a symptom in fibromyalgia. This additional analysis of the ABC model showed that fatigue can be described through the 4 U’s Rule, which is integrated by these four adjectives: (1) Unpredictable, (2) Uncontrollable, (3) Unseen, and (4) Unintelligible. Identifying these characteristics can contribute to a better understanding of fibromyalgia in addition to better treatment for these patients.

ShadowCaster: Compositional Methods under the Shadow of Phylogenetic Models to Detect Horizontal Gene Transfers in Prokaryotes

Horizontal gene transfer (HGT) plays an important role for evolutionary innovations within prokaryotic communities and is a crucial event for their survival. Several computational approaches have arisen to identify HGT events in recipient genomes. However, this has been proven to be a complex task due to the generation of a great number of false positives and the prediction disagreement among the existing methods. Phylogenetic reconstruction methods turned out to be the most reliable ones, but they are not extensible to all genes/species and are computationally demanding when dealing with large datasets. In contrast, the so-called surrogate methods that use heuristic solutions either based on nucleotide composition patterns or phyletic distribution of BLAST hits can be applied easily to the genomic scale, but they fail in identifying common HGT events. Here, we present ShadowCaster, a hybrid approach that sequentially combines nucleotide composition-based predictions by support vector machines (SVMs) under the shadow of phylogenetic models independent of tree reconstruction, to improve the detection of HGT events in prokaryotes. ShadowCaster successfully predicted close and distant HGT events in both artificial and bacterial genomes. ShadowCaster detected HGT related to heavy metal resistance in the genome of Rhodanobacter denitrificans with higher accuracy than the most popular state-of-the-art computational approaches, encompassing most of the predicted cases made by other methods. ShadowCaster is released at the GitHub platform as an open-source software under the GPLv3 license.

Hybrid approach for aortic embolization of Amplatzer duct occluder

Embolization of the patent ductus arteriosus (PDA) device is a known adverse event of percutaneous PDA closure, which can lead to complications. Embolization can occur into the pulmonary artery or into the aorta. Device embolization can be moderate adverse event (when retrieved percutaneously) or major adverse event (when retrieved surgically). We are describing a hybrid approach for aortic embolization of PDA device when the percutaneous retrieval fails, where device retrieval and PDA ligation can be done through thoracotomy incision, thus decreasing the complications.

In-Line Monitoring and Control of Rheological Properties through Data-Driven Ultrasound Soft-Sensors

The use of continuous processing is replacing batch modes because of their capabilities to address issues of agility, flexibility, cost, and robustness. Continuous processes can be operated at more extreme conditions, resulting in higher speed and efficiency. The issue when using a continuous process is to maintain the satisfaction of quality indices even in the presence of perturbations. For this reason, it is important to evaluate in-line key performance indicators. Rheology is a critical parameter when dealing with the production of complex fluids obtained by mixing and filling. In this work, a tomographic ultrasonic velocity meter is applied to obtain the rheological curve of a non-Newtonian fluid. Raw ultrasound signals are processed using a data-driven approach based on principal component analysis (PCA) and feedforward neural networks (FNN). The obtained sensor has been associated with a data-driven decision support system for conducting the process.

A Review of Recent Advances in Benchmark Dose Methodology

In this review, recent methodological developments for the benchmark dose (BMD) methodology are summarized. Specifically, we introduce the advances for the main steps in BMD derivation: selecting the procedure for defining a BMD from a predefined benchmark response (BMR), setting a BMR, selecting a dose-response model, and estimating the corresponding BMD lower limit (BMDL). Although the last decade has shown major progress in the development of BMD methodology, there is still room for improvement. Remaining challenges are the implementation of new statistical methods in user-friendly software and the lack of consensus about how to derive the BMDL.

Multivariate analysis of poor outcome after anterior surgery in multilevel cervical spondylotic myelopathy patients with heterotopic ossification and preoperative kyphotic alignment

Objective

The aim of this study was to evaluate the risk factors for poor outcome in patients who underwent multi-segmental anterior surgery, and analyze postoperative complications.

Methods

We retrospectively reviewed 158 patients after anterior surgery due to multilevel cervical spondylotic myelopathy (m-CSM) between June 2008 and June 2016. Adjusted ORs and 95% CIs were determined by multivariate logistic regression analysis. Cutoff values and the area under the curve for continuous risk factors were calculated through receiver operating characteristic curve analysis. The chi-squared test was performed for the comparison of complications among the three surgical groups.

Results

By analyzing 105 patients with good outcome and 53 patients with poor outcome, we established that the risk factors for poor outcome were advanced age (OR =1.12, P=0.003), longer duration of symptoms (OR =1.07, P=0.028), and bigger kyphotic angle at final follow-up (OR =1.29, P< 0.001). The optimal cutoff values for age, duration of symptoms, and kyphotic angle at final follow-up were 63.1 years, 15.5 months, and 5.3 angle. Postoperative complications occurred in 21 patients (13.3%). The incidence of dysphagia and cerebrospinal fluid leakage were higher in multilevel anterior cervical discectomy and fusion (m-ACDF) group than in other groups (P< 0.05).

Conclusion

Advanced age, longer duration of symptoms, and bigger kyphotic angle at final follow-up were the risk factors for poor postoperative outcome in patients with m-CSM. The complications after hybrid approach and m-ACDF approach were less than after anterior cervical corpectomy and fusion approach.

Hybrid IRBM-BPNN Approach for Error Parameter Estimation of SINS on Aircraft

To realize the error parameter estimation of strap-down inertial navigation system (SINS) and improve the navigation accuracy for aircraft, a hybrid improved restricted Boltzmann machine BP neural network (IRBM-BPNN) approach, which combines restricted Boltzmann machine (RBM) and BP neural network (BPNN), is proposed to forecast the inertial measurement unit (IMU) instrument errors and initial alignment errors of SINS. Firstly, the error generation mechanism of SINS is analyzed, and initial alignment error model and IMU instrument error model are established. Secondly, an unsupervised RBM method is introduced to initialize BPNN to improve the forecast performance of the neural network. The RBM-BPNN model is constructed through the information fusion of SINS/GPS/CNS integrated navigation system by using the sum of position deviation, the sum of velocity deviation and the sum of attitude deviation as the inputs and by using the error parameters of SINS as the outputs. The RBM-BPNN structure is improved to enhance its forecast accuracy, and the pulse signal is increased as the input of the neural network. Finally, we conduct simulation experiments to forecast and compensate the error parameters of the proposed IRBM-BPNN method. Simulation results show that the artificial neural network method is feasible and effective in forecasting SINS error parameters, and the forecast accuracy of SINS error parameters can be effectively improved by combining RBM and BPNN methods and improving the neural network structure. The proposed IRBM-BPNN method has the optimal forecast accuracy of SINS error parameters and navigation accuracy of aircraft compared with the radial basis function neural network method and BPNN method.

A Nationwide Survey of Cytomegalovirus Prevention Strategies in Kidney Transplant Recipients in a Resource-Limited Setting

Objective

Strategies to prevent cytomegalovirus (CMV) infection in resource-limited settings have been under-explored. We investigated CMV prevention strategies utilized among transplant centers in Thailand.

Method

A questionnaire on CMV prevention strategies for kidney transplant (KT) recipients was developed using a web-based electronic survey website (www.surveymonkey.com). The survey was delivered to 31 transplant centers in Thailand. One infectious disease physician (ID) and 1 nephrologist (NP) from each center were included.

Results

There were 43 respondents from 26 of the 31 transplant centers (84%), including 26 (60%) IDs and 17 (40%) NPs. Forty-one 95% (41/43) physicians agreed on the necessity of CMV prevention. Of these, 77% (33/43) physicians implemented prevention strategies for their patients. Interventions included preemptive approaches (48%), prophylaxis (45%), hybrid approaches; surveillance after prophylaxis (3%), and CMV-specific immunity-guided approaches (3%). For CMV-seropositive KT recipients, use of preemptive approaches (84%) exceeded prophylaxis (12%). However, 81% of the former preferred targeted prophylaxis in patients receiving antithymocyte globulin therapy. Sixty-five percent and 93% of physicians started preemptive therapy when plasma CMV DNA loads reached 2000 and 3000 copies/mL (1820 and 2730 IU/mL), respectively. A significantly greater percentage of NPs initiated preemptive therapy at a plasma CMV DNA load of 1820 IU/mL compared with IDs (88% vs 50%; P = .02). The most common barrier to prevention strategy implementation was financial inaccessibility of oral valganciclovir (67%) and quantitative CMV DNA testing (12%).

Conclusions

Most physicians agreed on a need for preemptive approaches, although prophylaxis was targeted in those receiving intense immunosuppression. The financial implication is the main barrier for CMV prevention in Thailand.

Infective endocarditis complicated with coronary artery septic embolization: is it worth to be mentioned? Case presentation and review of the literature

Coronary artery septic embolization is a rare, but severe complication of infective endocarditis involving the leftside of the valves. The first case mentioned in the literature was a postmortem finding of a left anterior descending coronary artery occlusion by a vegetation fragment. Since this case, there have been several therapeutic strategies published with this clinical setting including medical treatment, percutaneous coronary angioplasty addressing coronary occlusion, surgical intervention for both the infected valve and coronary embolization, and hybrid procedures with transcatheter septic embolus aspiration followed by surgical valvular interventions. Out of the three interventions mentioned, the latter provided the best results and was in concordance with results observed in a case of mitral valve infected endocarditis complicated with acute occlusion of the left anterior descending coronary artery in patient whose comorbidities included hypertrophic obstructive cardiomyopathy. A transcatheter left anterior descending coronary artery embolus aspiration was performed , followed by a surgical mitral valve replacement and septal myectomy with an uneventful postoperative course. Although rare, this severe complication of infective endocarditis has a specific clinical course and therapeutic strategy, and in our opinion, it could be mentioned as a separate entity among embolic complications of infective endocarditis in future guidelines. Previously published cases suggest that the hybrid intervention might be the therapy of choice for this clinical setting; however, larger studies are necessary for confirmation.

The use of high venous ligation as an adjunct to endovenous therapy in the management of great saphenous vein incompetence: A systematic review and meta-analysis of randomized controlled trials

Background

In recent years, endovenous intervention has emerged as a minimally invasive alternative to open venous surgery. However, endovenous intervention does not formally disconnect the deep and superficial venous systems and it is hypothesized that recurrence may be greater in the absence of high venous ligation. This study aims to compare the efficacy of a hybrid endovenous approach with adjuvant high venous ligation and standard operative intervention in the management of great saphenous incompetence.

Methods

In March 2018, Medline and Embase were systematically searched for relevant randomized controlled trials. All randomized controlled trials comparing a hybrid approach with standard operative intervention were included. Studies were required to include at least one pre-defined outcome. Data were extracted and assessed by two independent reviewers. Pooled risk ratios were calculated using a random effects model. Additional subgroup analyses were performed.

Results

Eight randomized controlled trials including 1244 patients were analysed. Pooled standardized data revealed no difference in overall recurrence (pooled RR = 1.00 [95% CI = 0.57, 1.77]), major operative morbidity (RR = 0.43 [95% CI = 0.06, 2.89]), or re-interventions (RR = 0.94 [95% CI = 0.12, 7.24]) for the hybrid group compared with standard operative intervention alone. Subgroup analysis revealed comparable short-, medium- and long-term recurrence rates between both cohorts. Furthermore, no difference in recurrence was identified when the hybrid approach was compared to open surgery alone (RR = 1.01 [95% CI = 0.63, 1.61]) or endovenous monotherapy (RR = 0.67 [95% CI = 0.04, 12.24]).

Conclusion

The use of a hybrid approach in the management of great saphenous incompetence appears to offer no recurrence, re-intervention or morbidity benefit when compared to standard operative intervention.

A new hybrid mini-laparoscopic technique for Spigelian hernia

We describe the original technique used for the treatment of a patient who presented with pain and bulging in the abdomen, who was diagnosed with Spigelian hernia (SH) using ultrasound. In this case, the hernia occurred in the anterolateral abdominal wall with herniation of the distal ileum and mesentery, in addition to a large right inguinal hernia. A mini-laparoscopic approach was proposed; due to Child-A hepatic cirrhosis, it was done by a hybrid technique, using a harmonic scalpel. The primary closure of the hernia defects was performed, followed by the placement of a polypropylene mesh in the preperitoneal space. The mesh was fixed. In this case, the inguinal hernia was homolateral to the SH. Following the surgery, the patient had no further complications, being discharged the day after the procedure.

A hybrid approach for patent ductus arteriosus closure using the Amplatzer Duct Occluder

OBJECTIVE

We performed closure of the patent ductus arteriosus (PDA) using a hybrid approach with an Amplatzer Duct Occluder.

METHODS

Six patients (two males and four females) underwent PDA closure at a mean age of 7.8 months (range 2-24 months) and a mean weight of 6.6 kg (range 4.5-13 kg). The main pulmonary artery (MPA) was exposed via a minimally invasive left parasternal second intercostal space incision. Under transesophageal echocardiography guidance, the PDA occluder was implanted via direct puncture of the MPA.

RESULTS

The procedure was successful in all patients with no residual shunt. There were no hospital deaths, and the postoperative course was uneventful. All patients were discharged on the 3rd to 4th day. There was no residual shunt in any patient on midterm follow-up.

CONCLUSIONS

The novel hybrid approach is a safe, minimal invasive procedure. Further experience and longer follow-up of these patients is necessary to conclude whether this technique is applicable to all the patients with a PDA.

Hybrid approach: an alternative prior to corrective surgery in a patient with arch hypoplasia and complete atrioventricular septal defect

The hybrid approach is mostly preferred in patients with hypoplastic left heart syndrome or univentricular physiology. Here, the hybrid approach is applied as a palliative procedure prior to corrective surgery in a patient with complete atrioventricular septal defect associated with arcus hypoplasia and results are discussed according to the literature.

[Hybrid vascular interventions on the peripheral arteries in the treatment of critical ischemia in elderly patients.]

Peripheral arterial disease has a huge contribution to the overall mortality rate of the population, especially in the group of patients of old and old age. The likelihood of an adverse outcome is increased against a background with other possible nosological forms. In particular, the combination of peripheral atherosclerosis with diabetes mellitus very often manifests itself in the form of a multilevel lesion of the lower limb arteries. The treatment of such patients is very difficult, since the use of only open or endovascular approaches has its own contraindications and limitations, and cannot be used throughout the course of the lesion. The way out of this situation is the use of a hybrid approach, which consists in the combination of an open surgical reconstruction on the upper floors of the lesion and balloon angioplasty on the arteries of the lower leg. This approach allows you to use the advantages of both methods and achieve good results of treatment. The article presents the experience of treatment using a hybrid approach in elderly and senile patients with multilevel lesion of the lower limb arteries on the background of diabetes mellitus.

One-year outcomes after successful chronic total occlusion percutaneous coronary intervention: The impact of dissection re-entry techniques

We aimed to determine clinical outcomes 1 year after successful chronic total occlusion (CTO) PCI and, in particular, whether use of dissection and re-entry strategies affects clinical outcomes. Hybrid approaches have increased the procedural success of CTO percutaneous coronary intervention (PCI) but longer-term outcomes are unknown, particularly in relation to dissection and re-entry techniques. Data were collected for consecutive CTO PCIs performed by hybrid-trained operators from 7 United Kingdom (UK) centres between 2012 and 2014. The primary endpoint (death, myocardial infarction, unplanned target vessel revascularization) was measured at 12 months along with angina status. One-year follow up data were available for 96% of successful cases (n = 805). In total, 85% of patients had a CCS angina class of 2-4 prior to CTO PCI. Final successful procedural strategy was antegrade wire escalation 48%; antegrade dissection and re-entry (ADR) 21%; retrograde wire escalation 5%; retrograde dissection and re-entry (RDR) 26%. Overall, 47% of CTOs were recanalized using dissection and re-entry strategies. During a mean follow up of 11.5 ± 3.8 months, the primary endpoint occurred in 8.6% (n = 69) of patients (10.3% (n = 39/375) in DART group and 7.0% (n = 30/430) in wire-based cases). The majority of patients (88%) had no or minimal angina (CCS class 0 or 1). ADR and RDR were used more frequently in more complex cases with greater disease burden, however, the only independent predictor of the primary endpoint was lesion length. CTO PCI in complex lesions using the hybrid approach is safe, effective and has a low one-year adverse event rate. The method used to recanalize arteries was not associated with adverse outcomes. © 2017 Wiley Periodicals, Inc.

Hybrid Approach to Percutaneous Coronary Intervention to Treat Chronic Total Occlusions

The hybrid approach is a systematic algorithm-led percutaneous coronary intervention strategy based on the identification of key anatomical features on coronary angiography to treat chronic total occlusions. The aims of this approach are to provide a standardised tool for physician training and programme development, avoiding futile strategies to improve safety, procedural success and reduce the contrast and radiation required to complete the case.

Bioresorbable vascular scaffolds-what does the future bring?

Bioresorbable vascular scaffolds (BVS) have emerged as an interesting alternative since the presence of the prosthesis in the coronary artery is transient. This technology enables to restore the normal vasomotor tone and allows positive remodeling, simultaneously reducing the trigger for persistent inflammation and facilitating further interventions by percutaneous or surgical means. Absorb BVS(®) is the first generation everolimus-eluting poly-L-lactide (PLLA) bioresorbable scaffold. In recent meta-analyses Absorb BVS(®) was definitely proved to be safe and effective device in the treatment of symptomatic coronary artery disease. This was recently confirmed by FDA advisory panel of experts who recommended approval of the device based on an analysis of its risks and rewards. Nevertheless, still there are some concerns regarding stent thrombosis, and the real vessel functionality restoration at long-term observation. Worth mentioning is the fact that apart from stable coronary disease Absorb BVS(®) is used successfully in a series of off-label clinical settings such as acute coronary syndromes including STEMI, in-stent restenosis, coronary bifurcations, left main stenting or chronic total occlusions. Moreover, new bioresorbable scaffolds are under development with DEsolve(®) and DREAM 2G(®), which are the most advanced.

Simultaneous Transventricular-Orbitocranial Resection of Large Suprasellar Craniopharyngioma as Inspired by Jackson's Maneuver from 1863

Traditional skull base techniques utilizing the microscope have allowed surgeons improved safe access to deep-seated lesions. More recent technical advances with the endoscope have allowed improved visibility and access to these previously difficult-to-reach regions. Most current literature emphasizes one technique over the other. We present a unique hybrid-type approach that tackles this not-infrequent surgical dilemma. This hybrid-type surgery resulted in a new technique that is a confluence of both open microsurgery and skull base corridors with an endoscope. Furthermore, a combined ventriculoscope approach adds extended assistance with resection. We detail the utility of this technique.

A patient presented with a large suprasellar lesion that was suspicious for a craniopharyngioma. Given improved survival with extent of resection, the goal of surgical intervention was maximal safe resection. The location of the tumor would have involved certain morbidity with deliberate residual if a skull base approach or endoscope-based approach was employed independently. As a result, the patient underwent a hybrid-type operation using a multi-corridor split-surgical team approach for the resection of her tumor.

The patient underwent hybrid surgery via a combined open microsurgical craniotomy, endoscopic resection, and a ventriculoscope-assisted approach. The ventriculoscope access allowed for resection of the intraventricular portion of the tumor and guided the extent of resection from the microsurgical corridor. Additionally, from a separate craniotomy, the suprasellar component was resected using both standard skull base and endoscope-assisted techniques. The patient tolerated the procedure well without additional morbidity provided from the multi-corridor hybrid technique.

The hybrid surgery resulted in a new multi-modality, split-surgical team approach providing maximal visualization with minimal added morbidity to resect a lesion difficult to access. This hybrid technique may be an effective piece of the surgeon’s armamentarium to provide improved patient outcomes.

The use of bioresorbable vascular scaffold Absorb BVS® in patients with stable coronary artery disease: one-year results with special focus on the hybrid bioresorbable vascular scaffolds and drug eluting stents treatment

BACKGROUND

The number of percutaneous coronary interventions (PCI) with bioresorbable vascular scaffolds (BVS) is in-creasing because these procedures offer additional benefits compared to PCI with classical drug eluting stents (DES) made of permanent metallic prostheses.

AIM

To present the current experience of using BVS in a real life scenario in patients with stable coronary artery disease (CAD), with a special focus on the assessment of safety and effectiveness of the hybrid strategy (single stage BVS and DES implantation).

METHODS

We performed a one-arm prospective registry, which enrolled patients with stable CAD in five interventional cardiology centres in Poland. All patients who met inclusion and exclusion criteria and had received at least one BVS stent during index PCI were included. The primary endpoint was the cumulative rate of major adverse cardiovascular events (MACE), consist-ing of cardiac death, myocardial infarction (MI), and clinically-driven target lesion revascularisation (TLR) at 12 months. The analysis was performed in the whole population as well as in the subgroup with the hybrid treatment (BVS + DES).

RESULTS

Between August 2013 and April 2014 139 patients were enrolled. The mean age was 59.5 ± 5.5 years, and 34.5% of the population were women. The target vessel was located in the left anterior descending artery in most cases (65.5%). The device success rate was 100%. At 12 months, in the whole population the cumulative MACE incidence was 7.2% (n = 10), while the clinically-driven TLR rate was 5.0% (n = 7). In further analysis, in the hybrid subgroup there was no death, MI, or stent thrombosis, and only one case of clinically-driven TLR (4.5%).

CONCLUSIONS

The obtained data enable us to say that in particular clinical scenarios the simultaneous use of BVS and DES might be safe and effective.

Improved outcomes with the comprehensive stage 2 procedure after an initial hybrid stage 1

OBJECTIVE

To report our improving institutional experience with the hybrid alternative surgical strategy for the management of hypoplastic left heart syndrome, in which hybrid stage 1 is followed by a comprehensive stage 2 procedure (removal of patent ductus arteriosus stent and pulmonary artery [PA] bands, aorta and PA reconstruction, Damus-Kaye-Stansel, atrial septectomy, Glenn).

METHODS

In this Institutional Review Board-approved retrospective review of all patients undergoing a comprehensive stage 2 procedure between January 2002 and December 2014, data were compared between the pre-protocol group (n = 64; January 2002 to March 2010) and the post-protocol group (n = 55; March 2010 to December 2014). These 2 groups flank the implementation of a perioperative management protocol to prevent PA thrombosis.

RESULTS

Pre-protocol mortality was 19% (12 of 64), with the most common mode of death involving PA thrombosis in at least 7 patients, with an urgent indication for surgery and age as contributing factors. Care modifications instituted in March 2010 included avoidance of procedures on an emergent basis or in patients aged <3 months, use of a systemic PA shunt in cases of too-small superior vena cava and/or PA, completion angiogram with a low threshold for intraoperative stenting, and postoperative anticoagulation therapy for 6 weeks. There was a significant decrease in mortality (2 of 55; 4%; P = .01), PA thrombosis (0 of 55; 0%; P = .01), and use of extracorporeal membrane oxygenation (0/55 [0%] compared with 7 of 64 [11%]; P = .01) after protocol implementation.

CONCLUSIONS

Despite the technical challenges of the comprehensive stage 2 procedure, excellent outcomes are attainable. Experience coupled with an internal quality review drove the implementation of a successful perioperative management protocol.